896
December 2015
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
THE
IMAGING & GEOSPATIAL
INFORMATION SOCIETY
ASPRS Certification validates your
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It differentiates you from others in the
profession.
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ASPRS congratulates these recently Certified and
Re-certified individuals:
CERTIFIED MAPPING SCIENTIST GIS/LIS
Emilly Foster, Certification #GS230
Effective October 31, 2015, expires October 31, 2020
CERTIFIED MAPPING SCIENTIST REMOTE SENSING
Christopher David Lippitt, Certification #RS188
Effective November 5, 2015, expires November 5, 2020
CERTIFIED MAPPING SCIENTIST LIDAR
Sanchit Agarwal, Certification #L002
Effective November 4, 2015, expires November 4, 2020
CERTIFIED PHOTOGRAMMETRIST
Eric P. Phan, Certification #1589
Effective October 21, 2015, expires October 21, 2020
RECERTIFIED PHOTOGRAMMETRISTS
Kenneth Comeaux, Certification #R1465
Effective November 4, 2015, expires November 4, 2020
Kurt Lutz, Certification #R1270
Effective August 5, 2015, expires August 5, 2020
Paul K. Ogino, Certification #R1302
Effective August 14, 2015, expires August 14, 2020
Jeffrey P. Schramm, Certification #R973
Effective September 19, 2015, expires September 19, 2020
section do an excellent job of describing many of the
models in use today and how the output of one model
may be the input to another.
Part IV is comparatively short, with only 3 chapters
and 70 pages, and focuses on how remote sensing
and GIS provide useful coastal resource management
information. Chapter 18 is dedicated to the use of
satellite remote sensing and modeled data to support
marine fisheries management and fisheries resources.
Often, satellite-derived data can provide environmental
time series data and be useful for tracking and
understanding the effects of environmental epochs and
reduce costs of monitoring large areas. Large areas of
impact, from a storm or cyclone, can be assessed and
responses planned using remote sensing. Currents and
migratory patterns can be observed, as well as Sea
Surface Temperature. Chapter 19 covers decision rules,
knowledge base, and selection process for locating
shrimp farms in Southwest Bangladesh, showing that,
with an adequate database, remote sensing and GIS
can provide a powerful analytic decision support tool
for site selection. Chapter 20 demonstrates a multi-
criteria approach for erosion risk assessment using
wave models and high-resolution DEMS. The authors
provide useable definitions of risk, probability of
hazard, susceptibility, and other useful terms. They
also provide a coastal vulnerability index (VI) based
on eight parameters: shoreline change rate, sea-level
change rate, coastal slope, mean significant wave
height, mean tidal range, coastal regional elevation,
coastal geomorphology and tsunami run-up. A weighted
Exposure Risk (EI) can be derived for each area using
remote sensing and thematic GIS data, which is
classified into 5 groupings. Using these two indexes,
the Erosion Risk Index (ERI) can be calculated. The
final result is then classified from one to three, based
on percentiles.
Remote Sensing and Modeling
is well written and
each chapter contains appropriate and useful graphics,
images, and charts. The book is written on an advanced
level, for those scientists who are familiar with both
remote sensing techniques and the subject matter.
Students or those new to resource management,
modeling, and spatial analysis may find the subjects
a bit overwhelming and fragmented. Each chapter has
its own reference section and there is a single index, so
it is quite easy to look up a particular topic and find it
in the text.
In summary, this book will make a welcome and
useful addition to the library of those interested in
advanced modeling and the use of remote sensing in
the coastal and marine environment.
